A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of <i>Staphylococcus aureus</i>

A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of <i>Staphylococcus aureus</i>

Rapid and accurate identification of pathogenic bacteria phenotypic traits, including virulence, drug resistance, and metabolic activity, is essential for clinical diagnosis and infectious disease control. Traditional methods are time-consuming, highlighting the need for more efficient approaches. T...

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Bibliografiske detaljer
Main Authors: Li Liu, Junjing Xue, Yang Song, Taijie Zhan, Yang Liu, Xiaohui Song, Li Mei, Duochun Wang, Yu Vincent Fu, Qiang Wei
Format: Article
Sprog:engelsk
Udgivet: MDPI AG 2025-06-01
Serier:Microorganisms
Fag:
Raman spectroscopy
machine learning
<i>Staphylococcus aureus</i>
phenotypic characteristics
rapid detection
Online adgang:https://www.mdpi.com/2076-2607/13/6/1333
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